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OHF: An Ontology Based Framework for Healthcare

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Artificial Intelligence and Speech Technology (AIST 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1546))

Abstract

Timely and holistic recommendations in disease diagnosis process may prove a great assistance to a medical practitioner. However, the amount of structured or unstructured data generated in medicinal domain are voluminous and thus imposes challenges. In order to make machines understand the data semantically and infer useful insights from patient’s information, the data needs to be semantically represented in an ontology. Therefore, in this paper we explore various ontologies existing in the medicinal domain. The paper proposes an Ontology-Based Framework for Healthcare (OHF) using these existing ontologies, and also proposes Healthcare Ontology (HO) which is a semantic representation of knowledgebase of patients’ healthcare information available in the form of Electronic Health Record (EHR). The OHF consisting of systematically generated and exhaustive ontologies may be utilized for predicting semantic inferences related to a patient’s medical condition. A case study is being used to explain working of the framework in disease diagnosis.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Delhi, New Delhi, India

    Shivani Dhiman & Punam Bedi

  2. Keshav Mahavidyalaya, University of Delhi, New Delhi, India

    Anjali Thukral

Authors
  1. Shivani Dhiman
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  2. Anjali Thukral
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  3. Punam Bedi
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Correspondence to Shivani Dhiman .

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Editors and Affiliations

  1. Indira Gandhi Delhi Technical University for Women, Delhi, India

    Amita Dev

  2. Kamrah Institute of Information Technology, Gurgaon, India

    S. S. Agrawal

  3. Indira Gandhi Delhi Technical University for Women, Delhi, India

    Arun Sharma

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Dhiman, S., Thukral, A., Bedi, P. (2022). OHF: An Ontology Based Framework for Healthcare. In: Dev, A., Agrawal, S.S., Sharma, A. (eds) Artificial Intelligence and Speech Technology. AIST 2021. Communications in Computer and Information Science, vol 1546. Springer, Cham. https://doi.org/10.1007/978-3-030-95711-7_28

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  • DOI: https://doi.org/10.1007/978-3-030-95711-7_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-95710-0

  • Online ISBN: 978-3-030-95711-7

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